{ "best_metric": 0.7289302945137024, "best_model_checkpoint": "/output/zgt-longformer-base-4096-finetuned-Gu21schedule-BS256-10ep-unrolled-13772/checkpoint-31926", "epoch": 9.999417758369724, "global_step": 32200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.1, "eval_accuracy": 0.15377753335327157, "eval_loss": 6.225821018218994, "eval_runtime": 2282.6214, "eval_samples_per_second": 45.205, "eval_steps_per_second": 2.826, "step": 313 }, { "epoch": 0.16, "learning_rate": 9.316770186335403e-05, "loss": 7.0555, "step": 500 }, { "epoch": 0.19, "eval_accuracy": 0.17207746116906447, "eval_loss": 5.971940994262695, "eval_runtime": 2280.3592, "eval_samples_per_second": 45.25, "eval_steps_per_second": 2.829, "step": 626 }, { "epoch": 0.29, "eval_accuracy": 0.2249201960138123, "eval_loss": 5.275129318237305, "eval_runtime": 2280.8737, "eval_samples_per_second": 45.24, "eval_steps_per_second": 2.828, "step": 939 }, { "epoch": 0.31, "learning_rate": 0.00018633540372670805, "loss": 5.7705, "step": 1000 }, { "epoch": 0.39, "eval_accuracy": 0.47743625094670755, "eval_loss": 3.3030917644500732, "eval_runtime": 2281.1425, "eval_samples_per_second": 45.235, "eval_steps_per_second": 2.828, "step": 1252 }, { "epoch": 0.47, "learning_rate": 0.0002795031055900621, "loss": 3.5618, "step": 1500 }, { "epoch": 0.49, "eval_accuracy": 0.6006654298264571, "eval_loss": 2.2308430671691895, "eval_runtime": 2282.0168, "eval_samples_per_second": 45.217, "eval_steps_per_second": 2.826, "step": 1565 }, { "epoch": 0.58, "eval_accuracy": 0.6511583497642377, "eval_loss": 1.8314521312713623, "eval_runtime": 2288.2913, "eval_samples_per_second": 45.093, "eval_steps_per_second": 2.819, "step": 1878 }, { "epoch": 0.62, "learning_rate": 0.0003726708074534161, "loss": 2.0809, "step": 2000 }, { "epoch": 0.68, "eval_accuracy": 0.6766689599727895, "eval_loss": 1.6349689960479736, "eval_runtime": 2284.6918, "eval_samples_per_second": 45.165, "eval_steps_per_second": 2.823, "step": 2191 }, { "epoch": 0.78, "learning_rate": 0.0004658385093167702, "loss": 1.6957, "step": 2500 }, { "epoch": 0.78, "eval_accuracy": 0.6925903806215541, "eval_loss": 1.5208783149719238, "eval_runtime": 2285.4871, "eval_samples_per_second": 45.149, "eval_steps_per_second": 2.822, "step": 2504 }, { "epoch": 0.87, "eval_accuracy": 0.7061222686146594, "eval_loss": 1.4304304122924805, "eval_runtime": 2286.3274, "eval_samples_per_second": 45.132, "eval_steps_per_second": 2.821, "step": 2817 }, { "epoch": 0.93, "learning_rate": 0.0005590062111801242, "loss": 1.5265, "step": 3000 }, { "epoch": 0.97, "eval_accuracy": 0.7137086705541928, "eval_loss": 1.3776779174804688, "eval_runtime": 2285.165, "eval_samples_per_second": 45.155, "eval_steps_per_second": 2.823, "step": 3130 }, { "epoch": 1.07, "eval_accuracy": 0.7221819099152214, "eval_loss": 1.3269994258880615, "eval_runtime": 2284.944, "eval_samples_per_second": 45.16, "eval_steps_per_second": 2.823, "step": 3443 }, { "epoch": 1.09, "learning_rate": 0.0005942028985507245, "loss": 1.4318, "step": 3500 }, { "epoch": 1.17, "eval_accuracy": 0.7294565866257247, "eval_loss": 1.2796943187713623, "eval_runtime": 2284.7192, "eval_samples_per_second": 45.164, "eval_steps_per_second": 2.823, "step": 3756 }, { "epoch": 1.24, "learning_rate": 0.0005838509316770186, "loss": 1.3525, "step": 4000 }, { "epoch": 1.26, "eval_accuracy": 0.7355410868863292, "eval_loss": 1.2408177852630615, "eval_runtime": 2284.293, "eval_samples_per_second": 45.172, "eval_steps_per_second": 2.824, "step": 4069 }, { "epoch": 1.36, "eval_accuracy": 0.7400509934425414, "eval_loss": 1.2121047973632812, "eval_runtime": 2284.0943, "eval_samples_per_second": 45.176, "eval_steps_per_second": 2.824, "step": 4382 }, { "epoch": 1.4, "learning_rate": 0.0005734989648033125, "loss": 1.2955, "step": 4500 }, { "epoch": 1.46, "eval_accuracy": 0.7442083806959977, "eval_loss": 1.1882882118225098, "eval_runtime": 2287.2324, "eval_samples_per_second": 45.114, "eval_steps_per_second": 2.82, "step": 4695 }, { "epoch": 1.55, "learning_rate": 0.0005631469979296066, "loss": 1.2534, "step": 5000 }, { "epoch": 1.56, "eval_accuracy": 0.7477817783646259, "eval_loss": 1.1666710376739502, "eval_runtime": 2287.2927, "eval_samples_per_second": 45.113, "eval_steps_per_second": 2.82, "step": 5008 }, { "epoch": 1.65, "eval_accuracy": 0.7509729759994749, "eval_loss": 1.1466068029403687, "eval_runtime": 2286.8281, "eval_samples_per_second": 45.122, "eval_steps_per_second": 2.821, "step": 5321 }, { "epoch": 1.71, "learning_rate": 0.0005527950310559006, "loss": 1.2177, "step": 5500 }, { "epoch": 1.75, "eval_accuracy": 0.7543796916990622, "eval_loss": 1.1255745887756348, "eval_runtime": 2287.311, "eval_samples_per_second": 45.113, "eval_steps_per_second": 2.82, "step": 5634 }, { "epoch": 1.85, "eval_accuracy": 0.7573199604626228, "eval_loss": 1.1089411973953247, "eval_runtime": 2287.9585, "eval_samples_per_second": 45.1, "eval_steps_per_second": 2.819, "step": 5947 }, { "epoch": 1.86, "learning_rate": 0.0005424430641821946, "loss": 1.1842, "step": 6000 }, { "epoch": 1.94, "eval_accuracy": 0.7602460251356375, "eval_loss": 1.0928661823272705, "eval_runtime": 2287.121, "eval_samples_per_second": 45.117, "eval_steps_per_second": 2.82, "step": 6260 }, { "epoch": 2.02, "learning_rate": 0.0005320910973084886, "loss": 1.1621, "step": 6500 }, { "epoch": 2.04, "eval_accuracy": 0.7627146220262728, "eval_loss": 1.0785621404647827, "eval_runtime": 2287.2838, "eval_samples_per_second": 45.113, "eval_steps_per_second": 2.82, "step": 6573 }, { "epoch": 2.14, "eval_accuracy": 0.7646867902540654, "eval_loss": 1.0680384635925293, "eval_runtime": 2286.3444, "eval_samples_per_second": 45.132, "eval_steps_per_second": 2.821, "step": 6886 }, { "epoch": 2.17, "learning_rate": 0.0005217391304347826, "loss": 1.135, "step": 7000 }, { "epoch": 2.24, "eval_accuracy": 0.7667706269089923, "eval_loss": 1.055375099182129, "eval_runtime": 2286.5038, "eval_samples_per_second": 45.129, "eval_steps_per_second": 2.821, "step": 7199 }, { "epoch": 2.33, "learning_rate": 0.0005113871635610765, "loss": 1.1177, "step": 7500 }, { "epoch": 2.33, "eval_accuracy": 0.7681812681198601, "eval_loss": 1.0453423261642456, "eval_runtime": 2287.1445, "eval_samples_per_second": 45.116, "eval_steps_per_second": 2.82, "step": 7512 }, { "epoch": 2.43, "eval_accuracy": 0.7700268668327276, "eval_loss": 1.034972071647644, "eval_runtime": 2286.7661, "eval_samples_per_second": 45.124, "eval_steps_per_second": 2.821, "step": 7825 }, { "epoch": 2.48, "learning_rate": 0.0005010351966873705, "loss": 1.0962, "step": 8000 }, { "epoch": 2.53, "eval_accuracy": 0.7721261102435742, "eval_loss": 1.0252578258514404, "eval_runtime": 2286.3022, "eval_samples_per_second": 45.133, "eval_steps_per_second": 2.821, "step": 8138 }, { "epoch": 2.62, "eval_accuracy": 0.7741078076971635, "eval_loss": 1.013240098953247, "eval_runtime": 2286.5811, "eval_samples_per_second": 45.127, "eval_steps_per_second": 2.821, "step": 8451 }, { "epoch": 2.64, "learning_rate": 0.0004906832298136645, "loss": 1.0815, "step": 8500 }, { "epoch": 2.72, "eval_accuracy": 0.7759812989947295, "eval_loss": 1.0042061805725098, "eval_runtime": 2285.9681, "eval_samples_per_second": 45.139, "eval_steps_per_second": 2.822, "step": 8764 }, { "epoch": 2.79, "learning_rate": 0.00048033126293995856, "loss": 1.0656, "step": 9000 }, { "epoch": 2.82, "eval_accuracy": 0.7772353193440255, "eval_loss": 0.9960096478462219, "eval_runtime": 2287.724, "eval_samples_per_second": 45.105, "eval_steps_per_second": 2.819, "step": 9077 }, { "epoch": 2.92, "eval_accuracy": 0.7787955466825444, "eval_loss": 0.9880508780479431, "eval_runtime": 2286.544, "eval_samples_per_second": 45.128, "eval_steps_per_second": 2.821, "step": 9390 }, { "epoch": 2.95, "learning_rate": 0.00046997929606625255, "loss": 1.0529, "step": 9500 }, { "epoch": 3.01, "eval_accuracy": 0.7798999599716246, "eval_loss": 0.9820164442062378, "eval_runtime": 2286.6981, "eval_samples_per_second": 45.125, "eval_steps_per_second": 2.821, "step": 9703 }, { "epoch": 3.11, "learning_rate": 0.0004596273291925466, "loss": 1.0369, "step": 10000 }, { "epoch": 3.11, "eval_accuracy": 0.7809209831853372, "eval_loss": 0.9759008288383484, "eval_runtime": 2286.5121, "eval_samples_per_second": 45.129, "eval_steps_per_second": 2.821, "step": 10016 }, { "epoch": 3.21, "eval_accuracy": 0.7824648109671964, "eval_loss": 0.9672925472259521, "eval_runtime": 2286.3624, "eval_samples_per_second": 45.132, "eval_steps_per_second": 2.821, "step": 10329 }, { "epoch": 3.26, "learning_rate": 0.0004492753623188405, "loss": 1.0243, "step": 10500 }, { "epoch": 3.3, "eval_accuracy": 0.7833865666507331, "eval_loss": 0.9606760740280151, "eval_runtime": 2287.5123, "eval_samples_per_second": 45.109, "eval_steps_per_second": 2.82, "step": 10642 }, { "epoch": 3.4, "eval_accuracy": 0.7848175718314938, "eval_loss": 0.9529650807380676, "eval_runtime": 2285.505, "eval_samples_per_second": 45.148, "eval_steps_per_second": 2.822, "step": 10955 }, { "epoch": 3.42, "learning_rate": 0.0004389233954451345, "loss": 1.0122, "step": 11000 }, { "epoch": 3.5, "eval_accuracy": 0.7858604580968149, "eval_loss": 0.9482426047325134, "eval_runtime": 2286.9396, "eval_samples_per_second": 45.12, "eval_steps_per_second": 2.82, "step": 11268 }, { "epoch": 3.57, "learning_rate": 0.00042857142857142855, "loss": 1.0032, "step": 11500 }, { "epoch": 3.6, "eval_accuracy": 0.7869931740974813, "eval_loss": 0.9418181777000427, "eval_runtime": 2286.0439, "eval_samples_per_second": 45.138, "eval_steps_per_second": 2.821, "step": 11581 }, { "epoch": 3.69, "eval_accuracy": 0.7881060845230868, "eval_loss": 0.935520350933075, "eval_runtime": 2287.1216, "eval_samples_per_second": 45.117, "eval_steps_per_second": 2.82, "step": 11894 }, { "epoch": 3.73, "learning_rate": 0.00041821946169772254, "loss": 0.9946, "step": 12000 }, { "epoch": 3.79, "eval_accuracy": 0.789029778259283, "eval_loss": 0.9287633299827576, "eval_runtime": 2287.6344, "eval_samples_per_second": 45.106, "eval_steps_per_second": 2.82, "step": 12207 }, { "epoch": 3.88, "learning_rate": 0.0004078674948240166, "loss": 0.9843, "step": 12500 }, { "epoch": 3.89, "eval_accuracy": 0.7905491091549709, "eval_loss": 0.9216060638427734, "eval_runtime": 2286.907, "eval_samples_per_second": 45.121, "eval_steps_per_second": 2.82, "step": 12520 }, { "epoch": 3.99, "eval_accuracy": 0.7915253922756511, "eval_loss": 0.9164555072784424, "eval_runtime": 2286.4984, "eval_samples_per_second": 45.129, "eval_steps_per_second": 2.821, "step": 12833 }, { "epoch": 4.04, "learning_rate": 0.0003975155279503105, "loss": 0.9732, "step": 13000 }, { "epoch": 4.08, "eval_accuracy": 0.79180229021036, "eval_loss": 0.9145598411560059, "eval_runtime": 2286.6882, "eval_samples_per_second": 45.125, "eval_steps_per_second": 2.821, "step": 13146 }, { "epoch": 4.18, "eval_accuracy": 0.7928778039058078, "eval_loss": 0.9099816679954529, "eval_runtime": 2286.2419, "eval_samples_per_second": 45.134, "eval_steps_per_second": 2.821, "step": 13459 }, { "epoch": 4.19, "learning_rate": 0.0003871635610766045, "loss": 0.9616, "step": 13500 }, { "epoch": 4.28, "eval_accuracy": 0.7939590053283955, "eval_loss": 0.9022164940834045, "eval_runtime": 2289.1496, "eval_samples_per_second": 45.077, "eval_steps_per_second": 2.818, "step": 13772 }, { "epoch": 4.35, "learning_rate": 0.00037681159420289854, "loss": 0.9944, "step": 14000 }, { "epoch": 4.37, "eval_accuracy": 0.7947964050782428, "eval_loss": 0.8981769680976868, "eval_runtime": 2284.4024, "eval_samples_per_second": 45.17, "eval_steps_per_second": 2.823, "step": 14085 }, { "epoch": 4.47, "eval_accuracy": 0.7957720898669994, "eval_loss": 0.8913259506225586, "eval_runtime": 2283.9356, "eval_samples_per_second": 45.179, "eval_steps_per_second": 2.824, "step": 14398 }, { "epoch": 4.5, "learning_rate": 0.0003664596273291925, "loss": 0.9478, "step": 14500 }, { "epoch": 4.57, "eval_accuracy": 0.7969175432650357, "eval_loss": 0.8867812752723694, "eval_runtime": 2285.4828, "eval_samples_per_second": 45.149, "eval_steps_per_second": 2.822, "step": 14711 }, { "epoch": 4.66, "learning_rate": 0.0003561076604554865, "loss": 0.9393, "step": 15000 }, { "epoch": 4.67, "eval_accuracy": 0.797533680364233, "eval_loss": 0.8840567469596863, "eval_runtime": 2285.1994, "eval_samples_per_second": 45.154, "eval_steps_per_second": 2.823, "step": 15024 }, { "epoch": 4.76, "eval_accuracy": 0.7979718683498008, "eval_loss": 0.8810065388679504, "eval_runtime": 2284.6667, "eval_samples_per_second": 45.165, "eval_steps_per_second": 2.823, "step": 15337 }, { "epoch": 4.81, "learning_rate": 0.0003457556935817805, "loss": 0.9318, "step": 15500 }, { "epoch": 4.86, "eval_accuracy": 0.7990604182276236, "eval_loss": 0.8742536306381226, "eval_runtime": 2285.2497, "eval_samples_per_second": 45.153, "eval_steps_per_second": 2.822, "step": 15650 }, { "epoch": 4.96, "eval_accuracy": 0.7999829388654707, "eval_loss": 0.8692484498023987, "eval_runtime": 2285.3369, "eval_samples_per_second": 45.152, "eval_steps_per_second": 2.822, "step": 15963 }, { "epoch": 4.97, "learning_rate": 0.0003354037267080745, "loss": 0.9244, "step": 16000 }, { "epoch": 5.05, "eval_accuracy": 0.8005920131667231, "eval_loss": 0.8657424449920654, "eval_runtime": 2284.9682, "eval_samples_per_second": 45.159, "eval_steps_per_second": 2.823, "step": 16276 }, { "epoch": 5.12, "learning_rate": 0.0003250517598343685, "loss": 0.9136, "step": 16500 }, { "epoch": 5.15, "eval_accuracy": 0.8014606980049568, "eval_loss": 0.8616141080856323, "eval_runtime": 2286.3782, "eval_samples_per_second": 45.131, "eval_steps_per_second": 2.821, "step": 16589 }, { "epoch": 5.25, "eval_accuracy": 0.8017829977599819, "eval_loss": 0.8604244589805603, "eval_runtime": 2285.0235, "eval_samples_per_second": 45.158, "eval_steps_per_second": 2.823, "step": 16902 }, { "epoch": 5.28, "learning_rate": 0.00031469979296066245, "loss": 1.0126, "step": 17000 }, { "epoch": 5.35, "eval_accuracy": 0.8022356256348646, "eval_loss": 0.857310950756073, "eval_runtime": 2286.9153, "eval_samples_per_second": 45.121, "eval_steps_per_second": 2.82, "step": 17215 }, { "epoch": 5.43, "learning_rate": 0.0003043478260869565, "loss": 0.9029, "step": 17500 }, { "epoch": 5.44, "eval_accuracy": 0.803324097225058, "eval_loss": 0.8512480854988098, "eval_runtime": 2286.0471, "eval_samples_per_second": 45.138, "eval_steps_per_second": 2.821, "step": 17528 }, { "epoch": 5.54, "eval_accuracy": 0.8043363001480831, "eval_loss": 0.846803605556488, "eval_runtime": 2285.0827, "eval_samples_per_second": 45.157, "eval_steps_per_second": 2.823, "step": 17841 }, { "epoch": 5.59, "learning_rate": 0.0002939958592132505, "loss": 0.8978, "step": 18000 }, { "epoch": 5.64, "eval_accuracy": 0.8043422672863869, "eval_loss": 0.8456587791442871, "eval_runtime": 2285.9389, "eval_samples_per_second": 45.14, "eval_steps_per_second": 2.822, "step": 18154 }, { "epoch": 5.73, "eval_accuracy": 0.8058391901420066, "eval_loss": 0.8390516638755798, "eval_runtime": 2287.2411, "eval_samples_per_second": 45.114, "eval_steps_per_second": 2.82, "step": 18467 }, { "epoch": 5.75, "learning_rate": 0.00028364389233954447, "loss": 0.8892, "step": 18500 }, { "epoch": 5.83, "eval_accuracy": 0.8061718215677711, "eval_loss": 0.8365983963012695, "eval_runtime": 2286.8653, "eval_samples_per_second": 45.122, "eval_steps_per_second": 2.82, "step": 18780 }, { "epoch": 5.9, "learning_rate": 0.0002732919254658385, "loss": 0.8823, "step": 19000 }, { "epoch": 5.93, "eval_accuracy": 0.8067812938706644, "eval_loss": 0.8338650465011597, "eval_runtime": 2283.6467, "eval_samples_per_second": 45.185, "eval_steps_per_second": 2.824, "step": 19093 }, { "epoch": 6.03, "eval_accuracy": 0.8076228111411446, "eval_loss": 0.8287978768348694, "eval_runtime": 2283.5755, "eval_samples_per_second": 45.187, "eval_steps_per_second": 2.825, "step": 19406 }, { "epoch": 6.06, "learning_rate": 0.0002629399585921325, "loss": 0.8767, "step": 19500 }, { "epoch": 6.12, "eval_accuracy": 0.8079247096194075, "eval_loss": 0.8258889317512512, "eval_runtime": 2283.9062, "eval_samples_per_second": 45.18, "eval_steps_per_second": 2.824, "step": 19719 }, { "epoch": 6.21, "learning_rate": 0.0002525879917184265, "loss": 0.8695, "step": 20000 }, { "epoch": 6.22, "eval_accuracy": 0.8087667947840288, "eval_loss": 0.8213385343551636, "eval_runtime": 2283.1428, "eval_samples_per_second": 45.195, "eval_steps_per_second": 2.825, "step": 20032 }, { "epoch": 6.32, "eval_accuracy": 0.8094497691620606, "eval_loss": 0.818403959274292, "eval_runtime": 2282.9543, "eval_samples_per_second": 45.199, "eval_steps_per_second": 2.825, "step": 20345 }, { "epoch": 6.37, "learning_rate": 0.00024223602484472047, "loss": 0.8638, "step": 20500 }, { "epoch": 6.42, "eval_accuracy": 0.8098454214492765, "eval_loss": 0.8152730464935303, "eval_runtime": 2283.8904, "eval_samples_per_second": 45.18, "eval_steps_per_second": 2.824, "step": 20658 }, { "epoch": 6.51, "eval_accuracy": 0.8105404823136922, "eval_loss": 0.8126282095909119, "eval_runtime": 2283.7674, "eval_samples_per_second": 45.183, "eval_steps_per_second": 2.824, "step": 20971 }, { "epoch": 6.52, "learning_rate": 0.00023188405797101448, "loss": 0.8581, "step": 21000 }, { "epoch": 6.61, "eval_accuracy": 0.8113756054828404, "eval_loss": 0.8074054718017578, "eval_runtime": 2286.9317, "eval_samples_per_second": 45.12, "eval_steps_per_second": 2.82, "step": 21284 }, { "epoch": 6.68, "learning_rate": 0.00022153209109730847, "loss": 0.852, "step": 21500 }, { "epoch": 6.71, "eval_accuracy": 0.8117181171348008, "eval_loss": 0.8063432574272156, "eval_runtime": 2287.1237, "eval_samples_per_second": 45.116, "eval_steps_per_second": 2.82, "step": 21597 }, { "epoch": 6.8, "eval_accuracy": 0.8124529403827395, "eval_loss": 0.8029435276985168, "eval_runtime": 2287.0757, "eval_samples_per_second": 45.117, "eval_steps_per_second": 2.82, "step": 21910 }, { "epoch": 6.83, "learning_rate": 0.00021118012422360248, "loss": 0.8471, "step": 22000 }, { "epoch": 6.9, "eval_accuracy": 0.8129203966068748, "eval_loss": 0.8003395199775696, "eval_runtime": 2284.3383, "eval_samples_per_second": 45.172, "eval_steps_per_second": 2.824, "step": 22223 }, { "epoch": 6.99, "learning_rate": 0.00020082815734989647, "loss": 0.8433, "step": 22500 }, { "epoch": 7.0, "eval_accuracy": 0.8138011440474225, "eval_loss": 0.7962095141410828, "eval_runtime": 2284.3684, "eval_samples_per_second": 45.171, "eval_steps_per_second": 2.824, "step": 22536 }, { "epoch": 7.1, "eval_accuracy": 0.8143908260747907, "eval_loss": 0.7925078272819519, "eval_runtime": 2283.4321, "eval_samples_per_second": 45.189, "eval_steps_per_second": 2.825, "step": 22849 }, { "epoch": 7.14, "learning_rate": 0.00019047619047619045, "loss": 0.833, "step": 23000 }, { "epoch": 7.19, "eval_accuracy": 0.8149341946879414, "eval_loss": 0.7910623550415039, "eval_runtime": 2282.6794, "eval_samples_per_second": 45.204, "eval_steps_per_second": 2.826, "step": 23162 }, { "epoch": 7.29, "eval_accuracy": 0.8155852939319885, "eval_loss": 0.787351131439209, "eval_runtime": 2280.6576, "eval_samples_per_second": 45.244, "eval_steps_per_second": 2.828, "step": 23475 }, { "epoch": 7.3, "learning_rate": 0.00018012422360248444, "loss": 0.8292, "step": 23500 }, { "epoch": 7.39, "eval_accuracy": 0.8161142535647913, "eval_loss": 0.7855063676834106, "eval_runtime": 2280.5342, "eval_samples_per_second": 45.247, "eval_steps_per_second": 2.828, "step": 23788 }, { "epoch": 7.45, "learning_rate": 0.00016977225672877845, "loss": 0.8239, "step": 24000 }, { "epoch": 7.48, "eval_accuracy": 0.8166872710027051, "eval_loss": 0.7811318039894104, "eval_runtime": 2280.9511, "eval_samples_per_second": 45.239, "eval_steps_per_second": 2.828, "step": 24101 }, { "epoch": 7.58, "eval_accuracy": 0.8169237775843518, "eval_loss": 0.7789031267166138, "eval_runtime": 2283.8263, "eval_samples_per_second": 45.182, "eval_steps_per_second": 2.824, "step": 24414 }, { "epoch": 7.61, "learning_rate": 0.00015942028985507247, "loss": 0.8199, "step": 24500 }, { "epoch": 7.68, "eval_accuracy": 0.817701750352434, "eval_loss": 0.7756628394126892, "eval_runtime": 2282.7729, "eval_samples_per_second": 45.202, "eval_steps_per_second": 2.826, "step": 24727 }, { "epoch": 7.76, "learning_rate": 0.00014906832298136645, "loss": 0.8161, "step": 25000 }, { "epoch": 7.78, "eval_accuracy": 0.8180780046913727, "eval_loss": 0.7731657028198242, "eval_runtime": 2282.4287, "eval_samples_per_second": 45.209, "eval_steps_per_second": 2.826, "step": 25040 }, { "epoch": 7.87, "eval_accuracy": 0.818685810759912, "eval_loss": 0.7693967223167419, "eval_runtime": 2283.0222, "eval_samples_per_second": 45.198, "eval_steps_per_second": 2.825, "step": 25353 }, { "epoch": 7.92, "learning_rate": 0.00013871635610766044, "loss": 0.8109, "step": 25500 }, { "epoch": 7.97, "eval_accuracy": 0.8192860535759192, "eval_loss": 0.7670938372612, "eval_runtime": 2281.3276, "eval_samples_per_second": 45.231, "eval_steps_per_second": 2.827, "step": 25666 }, { "epoch": 8.07, "eval_accuracy": 0.8195751214315984, "eval_loss": 0.765252947807312, "eval_runtime": 2281.8385, "eval_samples_per_second": 45.221, "eval_steps_per_second": 2.827, "step": 25979 }, { "epoch": 8.07, "learning_rate": 0.00012836438923395443, "loss": 0.8056, "step": 26000 }, { "epoch": 8.16, "eval_accuracy": 0.8201802172658903, "eval_loss": 0.7628767490386963, "eval_runtime": 2281.1128, "eval_samples_per_second": 45.235, "eval_steps_per_second": 2.828, "step": 26292 }, { "epoch": 8.23, "learning_rate": 0.00011801242236024844, "loss": 0.7985, "step": 26500 }, { "epoch": 8.26, "eval_accuracy": 0.8206215247730642, "eval_loss": 0.7607190608978271, "eval_runtime": 2281.4692, "eval_samples_per_second": 45.228, "eval_steps_per_second": 2.827, "step": 26605 }, { "epoch": 8.36, "eval_accuracy": 0.8213350638715384, "eval_loss": 0.7569999694824219, "eval_runtime": 2281.2083, "eval_samples_per_second": 45.233, "eval_steps_per_second": 2.827, "step": 26918 }, { "epoch": 8.38, "learning_rate": 0.00010766045548654244, "loss": 0.7974, "step": 27000 }, { "epoch": 8.46, "eval_accuracy": 0.8217071873214412, "eval_loss": 0.7556775808334351, "eval_runtime": 2284.1074, "eval_samples_per_second": 45.176, "eval_steps_per_second": 2.824, "step": 27231 }, { "epoch": 8.54, "learning_rate": 9.730848861283643e-05, "loss": 0.7904, "step": 27500 }, { "epoch": 8.55, "eval_accuracy": 0.8221692281949351, "eval_loss": 0.7519500255584717, "eval_runtime": 2284.0984, "eval_samples_per_second": 45.176, "eval_steps_per_second": 2.824, "step": 27544 }, { "epoch": 8.65, "eval_accuracy": 0.8223129100927267, "eval_loss": 0.7522034645080566, "eval_runtime": 2282.5801, "eval_samples_per_second": 45.206, "eval_steps_per_second": 2.826, "step": 27857 }, { "epoch": 8.7, "learning_rate": 8.695652173913043e-05, "loss": 0.786, "step": 28000 }, { "epoch": 8.75, "eval_accuracy": 0.822818443765433, "eval_loss": 0.7492069005966187, "eval_runtime": 2285.4968, "eval_samples_per_second": 45.149, "eval_steps_per_second": 2.822, "step": 28170 }, { "epoch": 8.85, "eval_accuracy": 0.8232270363634561, "eval_loss": 0.7467764019966125, "eval_runtime": 2283.855, "eval_samples_per_second": 45.181, "eval_steps_per_second": 2.824, "step": 28483 }, { "epoch": 8.85, "learning_rate": 7.660455486542441e-05, "loss": 0.7849, "step": 28500 }, { "epoch": 8.94, "eval_accuracy": 0.8238604187982002, "eval_loss": 0.7439348697662354, "eval_runtime": 2282.6461, "eval_samples_per_second": 45.205, "eval_steps_per_second": 2.826, "step": 28796 }, { "epoch": 9.01, "learning_rate": 6.625258799171841e-05, "loss": 0.7795, "step": 29000 }, { "epoch": 9.04, "eval_accuracy": 0.8241178859950476, "eval_loss": 0.7431699633598328, "eval_runtime": 2283.3834, "eval_samples_per_second": 45.19, "eval_steps_per_second": 2.825, "step": 29109 }, { "epoch": 9.14, "eval_accuracy": 0.8245760960749274, "eval_loss": 0.7410110235214233, "eval_runtime": 2282.9831, "eval_samples_per_second": 45.198, "eval_steps_per_second": 2.825, "step": 29422 }, { "epoch": 9.16, "learning_rate": 5.5900621118012414e-05, "loss": 0.7729, "step": 29500 }, { "epoch": 9.23, "eval_accuracy": 0.8251275339014902, "eval_loss": 0.7382827997207642, "eval_runtime": 2283.3756, "eval_samples_per_second": 45.191, "eval_steps_per_second": 2.825, "step": 29735 }, { "epoch": 9.32, "learning_rate": 4.554865424430642e-05, "loss": 0.769, "step": 30000 }, { "epoch": 9.33, "eval_accuracy": 0.8251445663318959, "eval_loss": 0.7376763224601746, "eval_runtime": 2285.0249, "eval_samples_per_second": 45.158, "eval_steps_per_second": 2.823, "step": 30048 }, { "epoch": 9.43, "eval_accuracy": 0.8256427450961197, "eval_loss": 0.7350980639457703, "eval_runtime": 2284.3614, "eval_samples_per_second": 45.171, "eval_steps_per_second": 2.824, "step": 30361 }, { "epoch": 9.47, "learning_rate": 3.5196687370600414e-05, "loss": 0.7685, "step": 30500 }, { "epoch": 9.53, "eval_accuracy": 0.825855438078354, "eval_loss": 0.7343987822532654, "eval_runtime": 2284.6411, "eval_samples_per_second": 45.166, "eval_steps_per_second": 2.823, "step": 30674 }, { "epoch": 9.62, "eval_accuracy": 0.8260118981852421, "eval_loss": 0.7326580286026001, "eval_runtime": 2284.6851, "eval_samples_per_second": 45.165, "eval_steps_per_second": 2.823, "step": 30987 }, { "epoch": 9.63, "learning_rate": 2.4844720496894407e-05, "loss": 0.7654, "step": 31000 }, { "epoch": 9.72, "eval_accuracy": 0.8263685390350757, "eval_loss": 0.7310478091239929, "eval_runtime": 2284.8075, "eval_samples_per_second": 45.162, "eval_steps_per_second": 2.823, "step": 31300 }, { "epoch": 9.78, "learning_rate": 1.4492753623188405e-05, "loss": 0.7627, "step": 31500 }, { "epoch": 9.82, "eval_accuracy": 0.8265398845224224, "eval_loss": 0.7310448884963989, "eval_runtime": 2283.7965, "eval_samples_per_second": 45.182, "eval_steps_per_second": 2.824, "step": 31613 }, { "epoch": 9.91, "eval_accuracy": 0.8269284900752123, "eval_loss": 0.7289302945137024, "eval_runtime": 2283.9473, "eval_samples_per_second": 45.179, "eval_steps_per_second": 2.824, "step": 31926 }, { "epoch": 9.94, "learning_rate": 4.140786749482401e-06, "loss": 0.7611, "step": 32000 }, { "epoch": 10.0, "step": 32200, "total_flos": 2.708513974181422e+18, "train_loss": 0.48268780489145596, "train_runtime": 544749.7789, "train_samples_per_second": 15.133, "train_steps_per_second": 0.059 } ], "max_steps": 32200, "num_train_epochs": 10, "total_flos": 2.708513974181422e+18, "trial_name": null, "trial_params": null }